@inproceedings{96ebf6723def4528b8b0cf5efc16bf48,
title = "Hyperspectral Image Super-Resolution Based on Frequency Characteristics",
abstract = "Super-resolution is of great importance when it comes to hyperspectral image processing. The existing methods have not explored the frequency component relationships between low-resolution hyperspectral images (LR-HSIs), high-resolution multispectral images (HR-MSIs), and high-resolution hyperspectral images (HR-HSIs). Drawing from empirical observations of the correlation between amplitude and the illumination / spectral characteristics of images, as well as the correlation between phase and the structural aspects of images, we show that the amplitude of LR-HSI is closer to HR-HSI, and the phase of HR-MSI is closer to HR-HSI. Based on this, we devise the Phase-amplitude Decoupled Modulator (PaDM), which extracts amplitude information from LR-HSI and phase information from HR-MSI to regulate the hyperspectral image super-resolution (HSISR) process. Experiments demonstrate the effectiveness of the proposed method.",
keywords = "hyperspectral image, image fusion, super-resolution",
author = "Jing Yu and Haofei Song and Xintian Mao and Qingli Li and Yan Wang",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024 ; Conference date: 26-10-2024 Through 28-10-2024",
year = "2024",
doi = "10.1109/CISP-BMEI64163.2024.10906082",
language = "英语",
series = "Proceedings - 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Qingli Li and Yan Wang and Lipo Wang",
booktitle = "Proceedings - 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics, CISP-BMEI 2024",
address = "美国",
}